| --- |
| library_name: nemo |
| license: cc-by-4.0 |
| tags: |
| - pytorch |
| - NeMo |
| --- |
| Speaker Verification model trained on Japanese data. |
|
|
| # Install |
| ```bash |
| pip install nemo_toolkit['all'] |
| ``` |
|
|
| # Inference |
|
|
| ```python |
| import nemo.collections.asr as nemo_asr |
| speaker_model = nemo_asr.models.EncDecSpeakerLabelModel.from_pretrained("Respair/RyuseiNet") |
| emb = speaker_model.get_embedding("audio.wav") # speaker embedding |
| # or |
| speaker_model.verify_speakers("audio_1.wav","audio_2.wav") |
| ``` |
|
|
| # Architecture |
|
|
| Nvidia's Titanet Large |
|
|
| # Data |
|
|
| 800 ~ 1000 hours |
|
|
| # Compute |
| GH200 |
